Google Pixel 9 Pro XL
Geekbench AI Score
1807
Single Precision Score
1749
Half Precision Score
2558
Quantized Score
Geekbench AI 1.4.0 Corporate for Android AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 9 Pro XL |
| Model ID | Google Pixel 9 Pro XL |
| Motherboard | komodo |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
1527
284.0 IPS |
|
|
Image Classification (Q)
|
100% |
2457
457.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2553
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2888
3.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2807
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6289
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1512
120.3 IPS |
|
|
Object Detection (HP)
|
98% |
1525
121.3 IPS |
|
|
Object Detection (Q)
|
83% |
1993
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (Q)
|
95% |
4680
55.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3074
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2968
22.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4900
44.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7026
9.12 IPS |
|
|
Style Transfer (HP)
|
89% |
6917
8.98 IPS |
|
|
Style Transfer (Q)
|
98% |
12517
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1402
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2499
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.8 IPS |
|
|
Text Classification (HP)
|
99% |
471
628.0 IPS |
|
|
Text Classification (Q)
|
88% |
688
928.6 IPS |
|
|
Machine Translation (SP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
310
11.0 IPS |
